A Novel Generalized-M Family: Heavy-Tailed Characteristics with Applications in the Engineering Sector

Table 2

The results of simulation study of the NGen-Weibull model for .

n	Parameters	MLEs	MSEs	Biases
25		1.31593100	0.06018998	0.11593107
		1.15609700	0.06972226	0.15609747
		3.521391 00	6.81451700	2.12139120
50		1.27756200	0.02981195	0.07756164
		1.11790400	0.03426620	0.11790373
		3.09305000	5.33528900	1.69305020
75		1.25680900	0.01970635	0.05680943
		1.11059700	0.02987176	0.11059712
		2.82767500	4.37315800	1.42767490
100		1.24857200	0.01439279	0.04857249
		1.09752400	0.02442831	0.09752428
		2.70442400	3.93945800	1.30442440
150		1.24033500	0.00977599	0.04033521
		1.08714200	0.01868892	0.08714193
		2.54872100	3.39428500	1.14872050
200		1.23262200	0.00796338	0.03262186
		1.08038100	0.01673055	0.08038127
		2.371564 00	2.86718800	0.97156410
300		1.22736100	0.00530184	0.02736133
		1.07003400	0.01288601	0.07003359
		2.22198800	2.33619000	0.82198780
400		1.22436800	0.00405492	0.02436773
		1.06347700	0.01088123	0.06347681
		2.12821500	1.93233700	0.72821510
500		1.22567700	0.00368187	0.02567661
		1.06176400	0.01014781	0.06176444
		2.08797300	1.74341300	0.68797340
600		1.22408200	0.00313356	0.02408230
		1.06221500	0.01017182	0.06221497
		2.07237900	1.67631700	0.67237860
700		1.22470600	0.00298151	0.02470586
		1.05719500	0.00926426	0.05719467
		2.01288900	1.09605800	0.61288930
750		1.21170200	0.00269140	0.02170158
		1.05450700	0.00855028	0.05450734
		1.91506500	0.99343000	0.57506490